We evaluate the performance of GMMC on multiple discriminative and generative tasks, including image classification, image generation, calibration of uncertainty, out-of-distribution detection and adversarial robustness. Since GMMC is inspired largely by JEM [1]}, for a fair comparison, our experiments closely follow the settings provided in the source code of JEMhttps://github.com/wgrathwohl/JEM. All our experiments are performed with PyTorch on Nvidia RTX GPUs. Due to page limit, details of the experimental setup are relegated to Appendix .
